Who it is forAn ML engineer evaluating a terminal or coding agent who needs benchmarks beyond a single demo task.
The problemPicking a benchmark from a large, unsorted list of papers takes time and is easy to get wrong.
The outcomeA shortlist of two or three benchmarks with links to their papers and code.
What you need first
- A web browser, or an agent that can read GitHub pages
- A place to save a short list or table of entries
Steps
- Open the Benchmarks section, which the README says lists 136 benchmarks.
- Filter the entries by the capability you need, such as command line tasks or tool use.
- Open the Terminal-Bench entry and note its code link and star count.
- Shortlist two or three benchmarks and copy their paper and code links.
- Record the shortlist with the README snapshot date of 2026-10-22.
Prompt for your agent
Using the repo KaiWU5/Awesome-AI4AI, list benchmarks from the Benchmarks section that involve command line or tool use for <target agent>. Expected output: a shortlist of three entries, each with its paper and code link. Verify that each link opens the benchmark named in its entry.
Caveat. The repo is a catalog of papers and does not run any benchmark, so you still need to set up and run the benchmark yourself.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for KaiWU5/Awesome-AI4AI and "Choose benchmarks to test a long-horizon coding agent"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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